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TITLE: Preference Modeling
PRESENTER: Prof. Werner Kiessling, http://www.informatik.uni-augsburg.de/en/chairs/dbis/db/staff/kiessling/, kiessling@informatik.uni-augsburg.de
AFFILIATION:Institute of Computer Science, University of Augsburg, http://www.informatik.uni-augsburg.de/en/chairs/dbis/db/
DATE: Monday 11th December 2006
TIME: 13:00:00
PLACE: CSE Seminar Room, Level 1, K17
ABSTRACT:
Personalization of e-services and search engines poses new challenges to
database technology, demanding a powerful and flexible modeling technique
for complex preferences. We propose a strict partial order semantics for
preferences, which closely matches people~Rs intuition. A variety of
sophisticated preferences are covered by this model. We show how to
inductively construct complex preferences by means of various preference
constructors. Conventional database queries have to be extended towards
preference queries. Contrary to the all-or-nothing semantics of SQL,
preference queries have to be answered cooperatively by treating
preferences as soft constraints, attempting a best possible match-making.
The so-called Best-Matches-Only (BMO) query model serves exactly this
purpose. We believe that this model is appropriate to extend database
technology towards effective support of personalization for search
engines and e-commerce applications.
References:
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Werner Kiessling. Foundations of Preferences in Database Systems.
In Proceedings of the 28th International Conference on Very Large
Data Bases (VLDB 2002), pp. 311-322, Hong Kong, China, Aug. 2002.
Werner Kiessling. Preference Queries with SV-Semantics. In Proceedings
of the 11th International Conference on Management of Data (COMAD 2005),
pp. 15-26, Goa, India, Jan. 2005.
BIOGRAPHY OF SPEAKER:
Prof. Kiessling is the Head of Department of Databases and Information
Systems, Institute of Computer Science, University of Augsburg.
Prof. Kiessling's research interests include preference
based database systems and search engines, personalized information
systems, cooperative man-machine-interaction and agent systems,
preference mining, innovative database applications for
electronic/mobile commerce, libraries, efficient component based
middleware for multimedia internet services. Prof. Kiessling's research
profile also includes architecture, modelling and performance analysis
of database systems, knowledge based systems and expert systems.
Seminar information is also available at
http://www.cse.unsw.edu.au/db/ai/seminars/list/index.html
Host:
Toby Walsh
Seminar Convenor:
Van Hai Ho
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